A comprehensive analysis of prognosis prediction models based on pathway-level, gene-level and clinical information for glioblastoma

The present study aimed to develop a pathway-based prognosis prediction model for glioblastoma (GBM). Univariate and multivariate Cox regression analysis were used to identify prognosis-related genes and clinical factors using mRNA-seq data of GBM samples from The Cancer Genome Atlas (TCGA) database...

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Detalles Bibliográficos
Autores principales: Liang, Ruqing, Wang, Meng, Zheng, Guizhi, Zhu, Hua, Zhi, Yaqin, Sun, Zongwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108889/
https://www.ncbi.nlm.nih.gov/pubmed/30015853
http://dx.doi.org/10.3892/ijmm.2018.3765

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108889/
https://www.ncbi.nlm.nih.gov/pubmed/30015853
http://dx.doi.org/10.3892/ijmm.2018.3765

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